import pandas as pd
import numpy as np
import re
import plotly.express as px
import pickle
from IPython.core.display import display, HTML
import plotly.io as pio
pio.renderers.default = "notebook"
#load saved plot.ly figures
with open('../plotlyfigs/stiffener-figs.pickle','rb') as f:
fig=pickle.load(f)
#generate plots and csv files
for f in fig:
arrays = []
data = []
x = f['layout']['xaxis']['title']
xtitle = x
y = f['layout']['yaxis']['title']
if y == 'beta':
ytitle = r'$\beta$'
else:
ytitle = y
title = f['layout']['title']
for i in range(len(f['data'])):
arrays.extend([f['data'][i]['name']]*2)
data.append(f['data'][i]['x'])
data.append(f['data'][i]['y'])
arrays = [arrays,[x,y]*len(f['data'])]
tuples = list(zip(*arrays))
data_t = [list(j) for j in zip(*data)]
index = pd.MultiIndex.from_tuples(tuples, names=['name', 'axis'])
df = pd.DataFrame(data_t, columns=index)
#export data to csv
mytitle = 'p' + re.search('\(.* (\d{3})\)',f['layout']['title'])[1] + '.csv'
df.to_csv(mytitle)
#plot data
myfig = px.line(df.stack(0).reset_index(), x=x, y=y, color="name", title=title, labels={x:xtitle, y:ytitle, 'name':'rivet pitch'})
myfig.show()
display(HTML("<a href=\""+mytitle+"\">Download .csv</a>"))
import plotly.io as pio
pio.renderers